Experiment design: We verify the role of normalization and activation functions in ConAM with ResNet-50-S3. Meanwhile, to reflect the performance of ConAM on a more complex dataset, we use CIFAR-100 [1]} and adopt ResNet-50 [2]} as the baseline. We design three strategies. The first strategy, ResNet-50-S3-S, allows the \(confidence\)  to be processed by the normalization function, Softmax, as shown below:

\(\begin{array}{l}confidence= \\Softmax\left(\left(W_2\left(W_1\left(lc\right)\right)\right) \times \left(W_2\left(W_1\left(gc\right)\right)\right)\right)\end{array}\) 
